Micron

Technology

Intern-NANDDeviceEngineering

S$36–48k ~AI est. Singapore, Singapore FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Intern - NAND Device Engineering at Micron. Skills: AI, Data Science, Machine Learning, Automation. Design AI-powered automation workflows. Build intelligent decision-support tools”

What You'll Achieve.

Deliver complete intern project package

Industry & Context.

Technology
Problems you'll solve

Data-driven decision making

What They're Looking For.

Must Have

Strong proficiency in Python, Python end-to-end data analysis workflows, Python automation workflows, Machine learning experience required, Deep learning experience required, AI applications experience required, scikit-learn experience required, TensorFlow experience required, PyTorch experience required, LangChain experience required, Bachelor's degree in Computer Science, Bachelor's degree in Data Science, Bachelor's degree in Artificial Intelligence, Bachelor's degree in Statistics, Bachelor's degree in Electrical Engineering, Bachelor's degree in Physics, Bachelor's degree in Mathematics, Master's degree in Computer Science, Master's degree in Data Science, Master's degree in Artificial Intelligence, Master's degree in Statistics, Master's degree in Electrical Engineering, Master's degree in Physics, Master's degree in Mathematics, Ph. D. in Computer Science, Ph. D. in Data Science, Ph. D. in Artificial Intelligence, Ph. D. in Statistics, Ph. D. in Electrical Engineering, Ph. D. in Physics, Ph. D. in Mathematics

Nice to Have

Automation experience preferred, Workflow orchestration experience preferred, Scripting pipelines experience preferred, API integrations experience preferred, Power Automate experience preferred, Airflow experience preferred, LLMs familiarity preferred, NLP familiarity preferred, Agentic AI frameworks familiarity preferred, SQL experience a plus, Data visualization tools experience a plus, Tableau experience a plus, Power BI experience a plus, Streamlit experience a plus, Dashboard development experience a plus, Semiconductor device physics exposure a plus, NAND flash memory exposure a plus, Electrical characterization exposure a plus, Cloud platforms experience a bonus, Azure experience a bonus, AWS experience a bonus, GCP experience a bonus, Big data tools experience a bonus, Spark experience a bonus, BigQuery experience a bonus

What You'll Do.

Design AI-powered automation workflows

Build intelligent decision-support tools

Develop AI-driven task management solutions

Develop AI-driven project management solutions

Apply machine learning techniques

Automate pattern recognition

Automate trend identification

Automate root-cause analysis

Create automated data pipelines

Build interactive visualizations

Build auto-generated summary reports

Implement LLM-based approaches

Implement agentic AI approaches

Automate data interpretation

Automate report generation

Automate meeting summarization

Automate knowledge retrieval

Deliver intern project package

How You'll Work.

Communication Scope

Technical audiences; Non-technical audiences

Process & Methodology

Task management, Project management

Full Job Description

**Our vision is to transform how the world uses information to enrich life for all.** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. **Role Overview** As an AI / Data Science Intern in the NAND Device Engineering group, you will apply artificial intelligence and data science techniques to accelerate and automate device characterization, enable autonomous data analysis and decision-making, improve task and project management, and increase efficiency across all facets of development in advanced 3D NAND technologies. You will design and build intelligent automation workflows, AI-assisted decision-support systems, and scalable data pipelines that empower engineering teams to work faster and smarter — from routine characterization tasks to strategic project execution. **Key Responsibilities** * Design and develop AI-powered automation workflows for electrical characterization of 3D NAND memory cells, including automated data extraction, analysis, reporting, and anomaly flagging across program, read, erase, reliability, and variability datasets. * Build intelligent decision-support tools that synthesize large-scale device data into prioritized, actionable recommendations — enabling faster engineering decisions on device optimization, design-of-experiment planning, and risk assessment. * Develop AI-driven task and project management solutions that automate tracking, prioritization, status reporting, and follow-up across device engineering projects and cross-functional workstreams. * Apply machine learning techniques (classification, regression, clustering, NLP, agentic AI) to automate pattern recognition

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